ai scientist

GE HealthCare

<div><h1 class="jobSectionHeader"><b>Job Description Summary</b></h1>
As a Staff AI Scientist, you will work at the forefront of state‑of‑the‑art AI for medical imaging, contributing to commercially deployed solutions that leverage recent advances in deep learning, foundation models, and multimodal AI. You will collaborate within cross‑functional teams comprising AI scientists, clinicians, statisticians, software engineers, and product managers to translate cutting‑edge research into scalable healthcare products.<br>
<br>
GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.<p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p><b>
Roles and Responsibilities:</b></p><p></p><p>
As a Staff AI Scientist, you will be part of a AI science or cross-disciplinary team on commercially facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE HealthCare business units.<br>
<br>
In this role, you will:</p><ul><li>
Design, develop, and deploy advanced deep learning models for medical image analysis, including detection, segmentation, classification, and quantification tasks across diverse imaging modalities.</li><li>
Leverage and adapt modern model architectures for data‑efficient model development.</li><li>
Explore and integrate foundation models and multimodal learning approaches that combine imaging with clinical text, reports, and metadata.</li><li>
Develop robust research prototypes with strong experimental rigor, evaluation metrics, and clinical relevance, under minimal supervision.</li><li>
Drive data-centric AI practices, including dataset curation, quality assessment, bias analysis, and annotation strategies at scale.</li><li>
Collaborate closely with software and MLOps teams to enable production‑ready, scalable, and compliant AI systems.</li><li>
Contribute to technical documentation, publications, patents, and knowledge sharing across the organization.</li><li>
Stay continuously abreast of emerging AI trends in medical imaging, regulatory expectations, and real‑world clinical deployment challenges.</li></ul><p></p><p><b><br>
Educational Qualifications:</b></p><ul><li>
PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, or equivalent practical experience with a strong research track record.</li><li>
Publications in leading conferences, journals, or reputable public repositories in AI/ML or medical imaging.</li><li>
Demonstrated ability to translate research innovations into clinically meaningful, real‑world solutions.</li></ul><p></p><p><b>
Technical Expertise:</b></p><ul><li>
Strong experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow) and model optimization techniques.</li><li>
Hands‑on expertise in <b>medical image processing</b> using libraries such as SimpleITK, MONAI, OpenCV, and related tools.</li><li>
Familiarity with self‑supervised learning, transfer learning, foundation models, and multimodal AI applied to healthcare data.</li><li>
Experience with experiment tracking, model versioning, and reproducibility best practices.</li><li>
Working knowledge of data governance, privacy‑preserving AI, and regulatory considerations in healthcare AI.</li></ul><p></p><p><b>
Inclusion and Diversity</b></p><p>
GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.</p><p></p><p>
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership &ndash; always with unyielding integrity.</p><p></p><p>
Our <b>total rewards</b> are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you&rsquo;d expect from an organization with global strength and scale, and you&rsquo;ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.</p><p><b>
#EveryRoleIsVital</b></p><p><b>
#LI-SM1</b></p><p></p><h1 class="jobSectionHeader"><b><br>
Additional Information</b></h1><div><div><div><div><div><div><div><p><b>
Relocation Assistance Provided: </b>Yes</p></div></div></div></div></div></div></div></div><p></p>

Staff AI Scientist

Cotiviti

<div>Overview:
<div>
The <b>Sr Data Scientist - Generative AI II</b> will apply knowledge and expertise to real world problems to enable healthcare organizations to deliver better care at lower cost through advanced technology and data analytics, helping to ensure the quality and sustainability of how healthcare is delivered in the United States. With access to dedicated on premise and cloud based big data solutions, the team can work with a vast amount of structured and unstructured data including claims, membership, physician demographics, medical records and others to begin to solve some of the most pressing healthcare issues of our time. A Data Scientist at Cotiviti will be given the opportunity to work directly with a team of healthcare professionals including analysts, clinicians, coding specialists<b>,</b> auditors and innovators to set aggressive goals and execute them with the team. This is for an ambitious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on their direct impact on business outcomes.</div><div></div><div><i><br>
Please note:</i><i> We are currently hiring multiple positions at various levels for our Artificial Intelligence teams. Please use the chart below as a guide for the amount of experience required for each level, and apply to the req(s) that are most appropriate for your level of experience.</i></div><br>
<div></div>
Responsibilities:
<div>
As a <b>Sr GenAI Scientist</b> within Cotiviti you will be responsible for delivering solutions that help our clients identify payment integrity issues, reduce the cost of healthcare processes, or improve the quality of healthcare outcomes. You will work as part of a team and will be individually responsible for the delivery of value associated with your projects. You will be expected to follow processes and practices that allow your models to be incorporated into our machine learning platform for production execution and monitoring, however, initial exploratory data analysis allows for more flexible experimentation to discover solutions to the business problems presented.</div><ul><li>
Work with key stakeholders within Research and Development as well as Business Operations, along with Product Management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and Artificial Intelligence techniques.</li><li>
Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential Artificial Intelligence/Machine Learning use cases.</li><li>
Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work.</li><li>
Prepare your final trained model and develop a validation test set for QA.</li><li>
Work with ML Ops/Production operations to deploy your model into production and support them in monitoring model performance.</li><li>
Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform.</li><li>
Participate in other data science initiatives, collaborating with your peers to support their projects.</li><li>
Participate in knowledge sharing sessions to bring new insights and technologies to the team.</li><li>
Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption.</li><li>
Complete all responsibilities as outlined in the annual performance review and/or goal setting.</li><li>
Complete all special projects and other duties as assigned.</li><li>
Must be able to perform duties with or without reasonable accommodation.</li></ul><div>
This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.
</div>Qualifications:
<ul><li>Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.</li><li>
Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain, LLAMA/Mistral and OpenAI, vector databases.</li><li>
5+ years of hands-on data science/AI experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU.</li><li>
Experience building production-grade machine learning deployments on AWS, Azure, or GCP.</li><li>
Experience working with Apache Spark&trade; and large-scale distributed datasets.</li><li>
Experience communicating technical concepts to non-technical and technical audiences is a plus.</li><li>
Flexibility to work with global teams as well geographically dispersed US based teams.</li><li>
Professional with ability to properly handle confidential information.</li><li>
Ability to work within a matrixed organization.</li><li>
Proficiency in all required skills and competencies above.</li></ul><div><b>
Mental Requirements:</b></div><ul><li>
Passion for collaboration, learn it all mindset and driving value with AI.</li><li>
Ability to work independently as well as collaborate as a team with a sense of urgency.</li><li>
Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort.</li><li>
Ability to handle multiple tasks, prioritize and meet deadlines.</li><li>
Communicating with others and teamwork.</li></ul><div><b>
Physical Requirements and Working Conditions:</b></div><ul><li>
Remaining in a stationary position, often standing or sitting for prolonged periods.</li><li>
Repeating motions that may include the wrists, hands, and/or fingers.</li><li>
No adverse environmental conditions expected.</li><li>
Must be able to provide high-speed internet access / connectivity and office setup and maintenance.</li><li>
Must be able to provide a dedicated, secure work area.</li></ul><div></div><div>
Base compensation ranges from $153,000 to $180,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.</div><div></div><div><br>
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.</div><div></div><div><br>
Since this job will be based remotely, all interviews will be conducted virtually.</div><div></div><div><br>
Date of posting: 6/22/2026</div><div>
Applications are assessed on a rolling basis. We anticipate that the application window will close on 9/22/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.</div><div></div><div><br>
#LI-Remote</div><div>
#Senior</div><div>
#LI-LL1</div></div><div></div>

Senior Generative AI Scientist II

Autobrains Technologies

<div>
 We are seeking a hands-on Applied AI Scientist to join our core R&amp;D team and drive the development of next-generation AI systems for autonomous driving. This role sits at the intersection of applied research and deployment. This role sits at the intersection of applied research and deployment. You will work directly on our multi-layered autonomy architecture, with a primary focus on real-time predictive models for driving decisions. A deep technical role for someone who thrives on turning cutting-edge research into real, working systems under hard constraints.
 <br/>
 <br/>
 Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Own the research-to-deployment cycle for driving models - from literature review and prototyping through to production integration.
  </li>
  <li>
   Design, implement, and iterate on real-time predictive models, including vision-language-action (VLA) models.
  </li>
  <li>
   Collaborate on reasoning systems, contributing to VLA models that handle planning across varied horizons.
  </li>
  <li>
   Bridge cloud-scale training with edge deployment - work on model compression, quantization, speculative decoding, and efficient inference for embedded automotive platforms.
  </li>
  <li>
   Evaluate and integrate state-of-the-art techniques from the broader AI research community into our autonomy stack.
  </li>
  <li>
   Collaborate closely with internal R&amp;D teams to unblock technical challenges, accelerate delivery, and raise the overall technical bar.
   <br/>
   <br/>
  </li>
 </ul>
 Requirements:
 <br/>
 <br/>
 <ul>
  <li>
   Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Robotics, or a related field (an MSc with an exceptional background will also be considered).
  </li>
  <li>
   Strong publication or deployment track record in one or more of: deep learning, computer vision, generative AI, reinforcement learning, or motion prediction.
  </li>
  <li>
   Demonstrated ability to go from paper to working implementation - not just theory, but shipped systems.
  </li>
  <li>
   Strong coding skills in Python; experience with C++ is a plus.
  </li>
  <li>
   Familiarity with modern ML infrastructure: PyTorch, ONNX, Triton, Dynamo, distributed training, model optimization.
  </li>
  <li>
   Solid mathematical foundations in probability, optimization, and statistics.
   <br/>
   <br/>
  </li>
 </ul>
 Attributes:
 <br/>
 <br/>
 <ul>
  <li>
   Experience with CUDA or low-level GPU optimization.
  </li>
  <li>
   Hands-on work with model quantization, distillation, or efficient inference on edge devices.
  </li>
  <li>
   Background in real-time, safety-critical, or embodied AI systems (robotics, autonomous vehicles, drones, etc.).
  </li>
  <li>
   Experience with foundation models (Language, Vision, Tabular, VLAs) and their on-device deployment.
  </li>
  <li>
   Familiarity with driving datasets, simulation environments, or sensor fusion pipelines.
  </li>
 </ul>
</div>


Applied AI Scientist - On Site

LOJELIS US

<p>We are seeking a Data Scientist to develop reliable, interpretable, and steerable AI systems to become a key player in our IT Business Intelligence &amp; Analytics team.</p><p><b>Overview</b></p><p>As an Agentic AI <b>/ </b>Data Scientist (5+ years of experience), you will drive AI initiatives, using advanced analytics, machine learning, and data-driven insights to enhance operational efficiency and improve decision-making. You will support the deployment of AI solutions across the organization, collaborate with multi-functional teams, and mentor junior data scientists to uphold our customer&rsquo;s commitment to innovation and excellence.</p><p>This position is based at our customer&rsquo; s headquarters in Greenville, SC. and requires 3 days on-site.</p><p><b>What you will do: </b></p><p>Develop and implement machine learning models and algorithms.</p><p>Partner with diverse functional groups to identify business needs and translate them into data-driven solutions.</p><p>Analyze large datasets to extract actionable insights and support decision-making.</p><p>Design and conduct experiments to validate model performance and improve operational processes.</p><p>Monitor and maintain AI models in production, ensuring they operate effectively and efficiently.</p><p>Mentor junior data scientists and contribute to the development of standard processes in data science and AI Ops.</p><p><b>What You will Bring: </b></p><p>Analytical mind and business savvy combined with problem-solving competence and communication skills.</p><p>5+ years of experience in data science, with a focus on AI and machine learning applications.</p><p>Demonstrated ability in programming languages such as Python &amp; PySpark, and data manipulation libraries (e.g., Pandas, NumPy).</p><p>Previous experience with machine learning frameworks (e.g., Scikit-learn), data visualization tools and framework (e.g. PowerBI, Steamlit), and generative AI technologies (e.g. LLM, chatbot)</p><p>Experience building autonomous AI agents using frameworks (i.e. LangChain, LangGraph, MCP) to support reasoning and decision-making.</p><p>Over 5 years working with cloud platforms (e.g., Azure), big data technologies (e.g., Spark), and enabling tools (Kubernetes).</p><p>Bachelor&rsquo;s but preferable Master&rsquo;s or Ph.D. in Data Science, Computer Science, Statistics, or a related field.</p><p><b>Preferred Qualifications: </b></p><ul><li>Proven expertise in problem-solving with complex datasets.</li><li>Ability communicating technical concepts to non-technical partners.</li><li>Examples of successful project management and collaboration in team-oriented environments.</li><li>Previous experience mentoring and developing junior data scientists and analysts</li></ul><p>Pay: $65.00 - $75.00 per hour</p><p>Work Location: In person</p>

Agentic AI / Data Scientist

HUK-COBURG-Allgemeine Versicherung AG

<div><p>Im Data Analytics Team der HUK-COBURG transformieren wir Daten in echte Mehrwerte f&uuml;r &uuml;ber 13 Mio. Kund:innen. Als Deutschlands f&uuml;hrende Kfz-Versicherung sind wir ein traditionsreiches und stabiles Unternehmen, welches zielgerichtet in Innovation und seine datengetriebene Zukunft investiert. Unsere agilen Data Analytics Teams setzen modernste Machine Learning und KI-Methoden ein, um Prozesse zu optimieren, faire Preise zu berechnen, Sch&auml;den digital und intelligent zu steuern und um neue, innovative Versicherungsprodukte zu entwickeln.
</p><p>Wir entwickeln z.B. intelligente Agentensysteme, die komplexe Aufgaben autonom planen, entscheiden und ausf&uuml;hren. Daf&uuml;r suchen wir einen erfahrenen Data Scientist (w/m/d), um moderne KI-Verfahren mit fundierter statistischer Expertise zu verbinden und wissenschaftliche Methoden in produktive Anwendungen zu &uuml;berf&uuml;hren.</p></div>
<br><div><p><b>Darauf kannst du dich freuen
</b></p><div><ul><li>Konzeption und Umsetzung von Machine Learning- und GenAI-L&ouml;sungen f&uuml;r Gesch&auml;ftsprozesse der Versicherungswirtschaft &ndash; von Schadenmanagement bis hin zu Kundenservice und internen Prozessen
</li><li>Entwicklung und Optimierung von (Agentic-)AI-Systemen auf Basis moderner LLMs
</li><li>Architektur, Implementierung und Betrieb produktiver AI-Frameworks in Cloud-Umgebungen
</li><li>Entwicklung statistischer Methoden und Evaluierungsframeworks zur Messung von Qualit&auml;t, Robustheit und Business Impact
</li><li>Optimierung von Modellinferenz, Latenz und Ressourceneffizienz f&uuml;r skalierbare KI-Anwendungen
</li><li>Enge Zusammenarbeit mit Engineering, Produktteams und Fachbereichen zur &Uuml;berf&uuml;hrung von Prototypen in produktive Systeme</li></ul></div></div><div></div>
<br><div><p><b>Dein Profil
</b></p><div><ul><li>Ein &uuml;berdurchschnittlich abgeschlossenes Studium (mindestens Master, idealerweise Promotion) der Informatik, Mathematik, Statistik, Physik oder eines vergleichbaren quantitativen Fachgebiets
</li><li>Mehrj&auml;hrige Erfahrung in Data Science, Machine Learning oder AI Engineering sowie in der Entwicklung produktiver KI-Systeme
</li><li>Fundiertes Verst&auml;ndnis statistischer und mathematischer Grundlagen moderner Machine Learning-Verfahren, insbesondere statistischer Inferenz, Wahrscheinlichkeitsrechnung, Experimentdesign und kausaler Modellierung
</li><li>Sehr gute Programmierkenntnisse in Python sowie praktische Erfahrung mit modernen ML- und DL-Frameworks (z. B. PyTorch, Hugging Face oder vergleichbare Technologien)
</li><li>Praktische Erfahrung in der Entwicklung von Agentic AI-Systemen mit LLMs, einschlie&szlig;lich RAG, Tool Calling, Structured Outputs, Reasoning Workflows und Multi-Agent-Systemen
</li><li>Tiefes Verst&auml;ndnis von LLM- und Agent-Architekturen auf Systemebene, einschlie&szlig;lich Agent Orchestration, Planning, Inferenzoptimierung, Kontextmanagement, Evaluierung von Agentenverhalten sowie Skalierung produktiver KI-Systeme
 </li><li>Hybrides Arbeitsmodell: Bereitschaft zur Pr&auml;senz in Coburg
</li></ul><div></div><div><div><b>Unsere Benefits
</b></div><div><ul><li><b>Arbeitgeberzusch&uuml;sse: </b>Dein Plus zum Gehalt &ndash; 13,3 Monatsgeh&auml;lter, leistungsorientierte Verg&uuml;tung, Mobilit&auml;tszusch&uuml;sse, verm&ouml;genswirksame Leistungen
</li><li><b>Weiterentwicklung: </b>Erreiche deine Ziele &ndash; Qualifizierungsma&szlig;nahmen, Zusch&uuml;sse zu Selbstbildungsma&szlig;nahmen, eigenes Schulungszentrum
</li><li><b>Flexibilit&auml;t: </b>Gute Arbeit und ein gutes Leben gehen Hand in Hand - M&ouml;glichkeit bis zur H&auml;lfte der monatlichen Arbeitszeit von Zuhause oder unterwegs zu arbeiten
</li><li><b>Work-Life-Balance: </b>Arbeite dann, wann es f&uuml;r dich am besten ist &ndash; flexible Arbeitszeitmodelle in Gleitzeit, 31,5 Tage Urlaubstage, Weihnachten und Silvester frei
</li><li><b>Beruf &amp; Familie: </b>Damit du dich bei uns wohlf&uuml;hlst, schaffen wir die passenden Rahmenbedingungen - Unterst&uuml;tzung bei Kinder- und Ferienbetreuung sowie Angeh&ouml;rigenpflege und Teilzeit- F&uuml;hrungspositionen
</li><li><b>Gesundheit &amp; Wohlbefinden: </b>Geht&acute;s dir gut, geht`s uns gut &ndash; Angebote zu Bewegung, Ern&auml;hrung und mentaler Gesundheit, Bezuschussung Mitgliedschaft in Fitnessstudios und von Pr&auml;ventionskursen
</li><li><b>Altersvorsorge: </b>Heute schon an morgen denken &ndash; betriebliche Altersvorsorge
</li><li><b>Mitarbeitendenberatung: </b>Manchmal ist es einfach gut, jemanden von au&szlig;en mitdenken zu lassen - Mitarbeitendenberatung zur Unterst&uuml;tzung in s&auml;mtlichen Lebensphasen
</li><li><b>Dienstfahrrad: </b>Radeln statt rollen - Bezuschussung deines Dienstfahrrads</li></ul></div></div></div></div>

Senior AI Scientist (w/m/d)

HUK-COBURG

<div>
 <p>
  Im Data Analytics Team der HUK-COBURG transformieren wir Daten in echte Mehrwerte f&uuml;r &uuml;ber 13 Mio. Kund:innen. Als Deutschlands f&uuml;hrende Kfz-Versicherung sind wir ein traditionsreiches und stabiles Unternehmen, welches zielgerichtet in Innovation und seine datengetriebene Zukunft investiert. Unsere agilen Data Analytics Teams setzen modernste Machine Learning und KI-Methoden ein, um Prozesse zu optimieren, faire Preise zu berechnen, Sch&auml;den digital und intelligent zu steuern und um neue, innovative Versicherungsprodukte zu entwickeln.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Wir entwickeln z.B. intelligente Agentensysteme, die komplexe Aufgaben autonom planen, entscheiden und ausf&uuml;hren. Daf&uuml;r suchen wir einen erfahrenen Data Scientist (w/m/d), um moderne KI-Verfahren mit fundierter statistischer Expertise zu verbinden und wissenschaftliche Methoden in produktive Anwendungen zu &uuml;berf&uuml;hren.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Darauf kannst du dich freuen:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Konzeption und Umsetzung von Machine Learning- und GenAI-L&ouml;sungen f&uuml;r Gesch&auml;ftsprozesse der Versicherungswirtschaft &ndash; von Schadenmanagement bis hin zu Kundenservice und internen Prozessen
  </li>
  <li>
   Entwicklung und Optimierung von (Agentic-)AI-Systemen auf Basis moderner LLMs
  </li>
  <li>
   Architektur, Implementierung und Betrieb produktiver AI-Frameworks in Cloud-Umgebungen
  </li>
  <li>
   Entwicklung statistischer Methoden und Evaluierungsframeworks zur Messung von Qualit&auml;t, Robustheit und Business Impact
  </li>
  <li>
   Optimierung von Modellinferenz, Latenz und Ressourceneffizienz f&uuml;r skalierbare KI-Anwendungen
  </li>
  <li>
   Enge Zusammenarbeit mit Engineering, Produktteams und Fachbereichen zur &Uuml;berf&uuml;hrung von Prototypen in produktive Systeme
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Dein Profil:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Ein &uuml;berdurchschnittlich abgeschlossenes Studium (mindestens Master, idealerweise Promotion) der Informatik, Mathematik, Statistik, Physik oder eines vergleichbaren quantitativen Fachgebiets
  </li>
  <li>
   Mehrj&auml;hrige Erfahrung in Data Science, Machine Learning oder AI Engineering sowie in der Entwicklung produktiver KI-Systeme
  </li>
  <li>
   Fundiertes Verst&auml;ndnis statistischer und mathematischer Grundlagen moderner Machine Learning-Verfahren, insbesondere statistischer Inferenz, Wahrscheinlichkeitsrechnung, Experimentdesign und kausaler Modellierung
  </li>
  <li>
   Sehr gute Programmierkenntnisse in Python sowie praktische Erfahrung mit modernen ML- und DL-Frameworks (z. B. PyTorch, Hugging Face oder vergleichbare Technologien)
  </li>
  <li>
   Praktische Erfahrung in der Entwicklung von Agentic AI-Systemen mit LLMs, einschlie&szlig;lich RAG, Tool Calling, Structured Outputs, Reasoning Workflows und Multi-Agent-Systemen
  </li>
  <li>
   Tiefes Verst&auml;ndnis von LLM- und Agent-Architekturen auf Systemebene, einschlie&szlig;lich Agent Orchestration, Planning, Inferenzoptimierung, Kontextmanagement, Evaluierung von Agentenverhalten sowie Skalierung produktiver KI-Systeme
  </li>
  <li>
   Hybrides Arbeitsmodell: Bereitschaft zur Pr&auml;senz in Coburg
  </li>
  <li>
   Gute Deutschkenntnisse (C1-Niveau)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Unsere Benefits:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Arbeitgeberzusch&uuml;sse:
   </strong>
   Dein Plus zum Gehalt &ndash; 13,3 Monatsgeh&auml;lter, leistungsorientierte Verg&uuml;tung, Mobilit&auml;tszusch&uuml;sse, verm&ouml;genswirksame Leistungen
  </li>
  <li>
   <strong>
    Weiterentwicklung:
   </strong>
   Erreiche deine Ziele &ndash; Qualifizierungsma&szlig;nahmen, Zusch&uuml;sse zu Selbstbildungsma&szlig;nahmen, eigenes Schulungszentrum
  </li>
  <li>
   <strong>
    Flexibilit&auml;t:
   </strong>
   Gute Arbeit und ein gutes Leben gehen Hand in Hand - M&ouml;glichkeit bis zur H&auml;lfte der monatlichen Arbeitszeit von Zuhause oder unterwegs zu arbeiten
  </li>
  <li>
   <strong>
    Work-Life-Balance:
   </strong>
   Arbeite dann, wann es f&uuml;r dich am besten ist &ndash; flexible Arbeitszeitmodelle in Gleitzeit, 31,5 Tage Urlaubstage, Weihnachten und Silvester frei
  </li>
  <li>
   <strong>
    Beruf &amp; Familie:
   </strong>
   Damit du dich bei uns wohlf&uuml;hlst, schaffen wir die passenden Rahmenbedingungen - Unterst&uuml;tzung bei Kinder- und Ferienbetreuung sowie Angeh&ouml;rigenpflege und Teilzeit- F&uuml;hrungspositionen
  </li>
  <li>
   <strong>
    Gesundheit &amp; Wohlbefinden:
   </strong>
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   Manchmal ist es einfach gut, jemanden von au&szlig;en mitdenken zu lassen - Mitarbeitendenberatung zur Unterst&uuml;tzung in s&auml;mtlichen Lebensphasen
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    Dienstfahrrad:
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   Wir freuen uns auf Deine Bewerbung!
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  Mehr Informationen zu unserem Data Analytics Programm findest Du hier: https://www.huk.de/karriere/einstieg/jobwelten/mathe-data/data-analytics.html
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</div>


Charles Schwab

<div><div>Austin, TX ; Southlake, TX
</div><b>Requisition ID</b> 2026-123164 <b>Category</b> Data Analytics and Strategy <b>Position type</b> Regular <b>Pay range</b> USD $100,000.00 - $140,000.00 / Year <b>Application deadline</b> 2026-06-25</div>
<br><div><div><div><h2 class="jobSectionHeader"><b>Your opportunity</b></h2><div><br>
At Schwab, you&rsquo;re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us &ldquo;challenge the status quo&rdquo; and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).</div><div></div><div>
Schwab&rsquo;s AI &amp; Data Science organization is a centralized hub for delivering innovative production ready AI and machine learning solutions that drive measurable business outcomes across the firm. The team partners with Schwab business units to identify high impact use cases, pilot innovative analytical solutions, and transition successful models into enterprise level production systems. Our mission is to accelerate the adoption of AI as a strategic product capability&mdash;ensuring models are scalable, reusable, governable, and continuously delivering value.</div><div></div><div>
As a data scientist, you will play an essential part in advancing Schwab&rsquo;s capabilities by driving the design, development, and implementation of innovative AI and machine learning solutions that address complex, enterprise scale challenges. You&rsquo;ll bridge advanced research and robust engineering, owning the end‑to‑end lifecycle of high‑impact models. Successful candidates will work collaboratively across the organization with our business sponsors, development teams, and engineering partners. We are seeking a subject matter expert in all things AI, primed to identify and translate advanced analytical techniques, applications, and strategies into practical production ready solutions.</div><div></div><div><b>
What You&rsquo;ll Do</b></div><div>
The Data Scientist will work collaboratively with a team of data scientists, ML engineers, and product owners throughout a project lifecycle, including data extraction and preparation, feature engineering, model design and development and everything in between&ndash; this is a role that will requires hands on expertise to create value adding solutions that solve real business problems.</div><div>
This role supports multiple business units across Schwab from enterprise services such as Marketing to client and product groups like Investor and Advisor Services.
</div><div></div><div><b>What you bring</b></div><div><b>
Machine Learning</b>: Knowledge of and experience with designing and implementing algorithms (Gradient Boosting Trees, GLM/Regression, Random Forest, Neural Networks, K-Means clustering etc.), and the ability to articulate their real-world advantages and drawbacks.</div><div></div><div><b>
LLMs</b>: Experience with modern large language models from usage for embeddings and classification to agentic frameworks. Familiarity on evals and measurement frameworks.</div><div></div><div><b>
Statistical Methodology</b>: Knowledge of advanced techniques and concepts (regression, properties of distributions, time series analysis and modeling, statistical tests and proper usage, etc).
</div><div></div><div><b>Business Acumen</b>: Understanding the bigger picture for customers and the business and the know how to probe beyond stakeholders&rsquo; stated requests to understand what is truly needed to capture and drive business value.</div><h2 class="jobSectionHeader"><b>
What you have</b></h2><div><b><br>
Required Qualifications</b></div><ul><li>
MS/PHD in a quantitative field (eg. Statistics, Mathematics, Computer Science, Engineering, Physics, Operations Research, etc).
</li><li>2+ years&rsquo; of experience in delivering production AI and Data Science products</li><li>
Strong foundational knowledge of:
</li><li><ul><li>Statistics and probability</li><li>
Machine learning fundamentals (regression, classification, clustering)</li></ul></li><li>
Proficiency in Python and software engineering methodologies</li><li>
Exposure to cloud platforms (GCP, Azure, AWS).</li><li>
Strong verbal and written communication skills</li><li>
Self-starter with strong organizational skills, attention to detail, and desire to continually reevaluate existing products and processes.</li></ul><div></div><div><b>
Preferred Qualifications</b></div><ul><li>
Experience with Dataiku and Google Cloud ie: Vertex AI, Big Query</li><li>
Experience with Bayesian statistics and marketing mix modeling</li><li>
Expertise in MLops and model monitoring
</li><li>Familiarity working in regulated environments</li></ul><div></div><div>
&quot;In addition to the salary range, this role is also eligible for bonus or incentive opportunities.&quot;</div><div><h2 class="jobSectionHeader"><b><br>
What&rsquo;s in it for you</b></h2><p>
At Schwab, you&rsquo;re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration&mdash;so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.</p><p>
We offer a competitive benefits package that takes care of the whole you &ndash; both today and in the future:</p><ul><li>
401(k) with company match and Employee stock purchase plan</li><li>
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions</li><li>
Paid parental leave and family building benefits</li><li>
Tuition reimbursement</li><li>
Health, dental, and vision insurance</li></ul></div>
<p></p><div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Share:</b></h3>
<ul><li>Facebook</li>
<li>LinkedIn</li>
<li>X</li>
<li>Email</li>
</ul></div></div></div><div><h2 class="jobSectionHeader"><b>Eligible Schwabbies receive</b></h2>
<ul><li><h2 class="jobSectionHeader"><b>Medical, dental and vision benefits</b></h2>
</li><li><h2 class="jobSectionHeader"><b>401(k) and employee stock purchase plans</b></h2>
</li><li><h2 class="jobSectionHeader"><b>Tuition reimbursement to keep developing your career</b></h2>
</li><li><h2 class="jobSectionHeader"><b>Paid parental leave and adoption/family building benefits</b></h2>
</li><li><h2 class="jobSectionHeader"><b>Sabbatical leave available after five years of employment</b></h2></li></ul></div></div>

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